Analyzing and Forecasting Dew Point Temperature Trends in Bangladesh

Climate change presents substantial worldwide concerns, especially for regions such as Bangladesh, which are exceptionally susceptible due to their geographical and socio-economic circumstances. An important parameter of an environment's weather conditions is the dew point temperature, which significantly influences weather forecasting and climate research. This research intends to expose fundamental trends, seasonal fluctuations, and long-term patterns in the dew point temperature data. The preprocessing steps involved handling missing values, cleaning unnecessary data, and normalizing the dataset to ensure accuracy and consistency. The data was analyzed using correlation analysis, trend analysis, and seasonal decomposition approaches to uncover meaningful insights. In addition, a basic predictive model has been applied to showcase possible forecasting abilities. The results highlight the intricate relationships between dew point temperature and other climatic factors, showcasing both daily and seasonal cycles and long-term trends. The findings of this study are essential information for the development of more accurate and reliable climate models and contribute to a better understanding of climatic changes in Bangladesh.